From e40edad23bbfa7912d5d42ab076fb7b9a7e8e2d7 Mon Sep 17 00:00:00 2001 From: Emma Dann <32264060+emdann@users.noreply.github.com> Date: Fri, 15 Dec 2023 14:20:34 +0000 Subject: [PATCH] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 9569cc5..13a6cce 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,7 @@ [badge-docs]: https://img.shields.io/readthedocs/oor_benchmark One of the goals of reference-based single-cell RNA-seq analysis is to detect altered cell states that are not observed in the reference dataset. -This repository contains code to benchmark workflows for integration and differential analysis on the task of detection of Out-of-reference (OOR) states, used in our [preprint](https://www.biorxiv.org/content/10.1101/2022.11.10.515939v1) on reference design for disease state identification. For code to reproduce analysis in the manuscript see the [reproducibility repo](https://github.com/MarioniLab/oor_design_reproducibility). +This repository contains code to benchmark workflows for integration and differential analysis on the task of detection of Out-of-reference (OOR) states, used in our [paper](https://www.nature.com/articles/s41588-023-01523-7) on reference design for disease state identification. For code to reproduce analysis in the manuscript see the [reproducibility repo](https://github.com/MarioniLab/oor_design_reproducibility). The structure of the API was inspired by the [OpenProblems](https://github.com/openproblems-bio/openproblems) task structure. This package was built using the [scverse cookiecutter template](https://github.com/scverse/cookiecutter-scverse). @@ -68,7 +68,7 @@ If you found a bug, please use the [issue tracker][issue-tracker]. --> ## Citation -> Dann E., Teichmann S.A. and Marioni J.C. Precise identification of cell states altered in disease with healthy single-cell references. _biorXiv_ https://doi.org/10.1101/2022.11.10.515939 +> Dann E., Cujba A.M., Oliver A.J., Meyer K., Teichmann S.A. and Marioni J.C. Precise identification of cell states altered in disease with healthy single-cell references. _Nature Genetics_ https://doi.org/10.1038/s41588-023-01523-7 [scverse-discourse]: https://discourse.scverse.org/ [issue-tracker]: https://github.com/emdann/oor_benchmark/issues